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Absenteeism amongst health workers – developing a typology to support empiric work in low-income countries and characterizing reported associations

Overview of attention for article published in Human Resources for Health, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
policy
2 policy sources
twitter
6 X users

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
250 Mendeley
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Title
Absenteeism amongst health workers – developing a typology to support empiric work in low-income countries and characterizing reported associations
Published in
Human Resources for Health, July 2013
DOI 10.1186/1478-4491-11-34
Pubmed ID
Authors

Alice Belita, Patrick Mbindyo, Mike English

Abstract

The contribution of inadequate health worker numbers and emigration have been highlighted in the international literature, but relatively little attention has been paid to absenteeism as a factor that undermines health-care delivery in low income countries. We therefore aimed to review the literature on absenteeism from a health system manager's perspective to inform needed work on this topic. Specifically, we aimed to develop a typology of definitions that might be useful to classify different forms of absenteeism and identify factors associated with absenteeism. Sixty-nine studies were reviewed, only four were from sub-Saharan Africa where the human resources for health crisis is most acute. Forms of absenteeism studied and methods used vary widely. No previous attempt to develop an overarching approach to classifying forms of absenteeism was identified. A typology based on key characteristics is proposed to fill this gap and considers absenteeism as defined by two key attributes, whether it is: planned/unplanned, and voluntary/involuntary. Factors reported to influence rates of absenteeism may be broadly classified into three thematic categories: workplace and content, personal and organizational and cultural factors. The literature presents an inconsistent picture of the effects of specific factors within these themes perhaps related to true contextual differences or inconsistent definitions of absenteeism.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Tanzania, United Republic of 1 <1%
South Africa 1 <1%
Unknown 246 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 18%
Student > Ph. D. Student 29 12%
Researcher 27 11%
Student > Bachelor 25 10%
Student > Postgraduate 16 6%
Other 46 18%
Unknown 61 24%
Readers by discipline Count As %
Medicine and Dentistry 58 23%
Social Sciences 25 10%
Nursing and Health Professions 22 9%
Business, Management and Accounting 22 9%
Economics, Econometrics and Finance 15 6%
Other 41 16%
Unknown 67 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2023.
All research outputs
#1,871,728
of 25,373,627 outputs
Outputs from Human Resources for Health
#179
of 1,261 outputs
Outputs of similar age
#14,821
of 191,893 outputs
Outputs of similar age from Human Resources for Health
#2
of 17 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 191,893 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.